VISHESH SHARMA

Aspiring Data Scientist | Deep Learning Engineer
Sonipat, IN.

About

Highly analytical and detail-oriented Data Analyst and aspiring Machine Learning Engineer with proven expertise in SQL, Python, Power BI, and advanced ML/DL techniques. Eager to leverage hands-on experience in data mining, preprocessing, visualization, and statistical modeling to develop interactive dashboards and extract actionable insights, driving informed business decisions and innovative solutions.

Work

Codec Technology
|

Data Science Intern

Hybrid, Not Specified, India

Summary

Currently interpreting structured datasets and developing machine learning models to support stakeholder understanding and efficient model development.

Highlights

Interpreted complex structured datasets and developed machine learning models using Scikit-learn to derive actionable insights.

Established visual reports and interactive dashboards, enhancing stakeholder understanding and data-driven decision-making.

Refined data pipelines and applied feature engineering techniques, significantly improving model performance and efficiency.

Indian Space Research Organisation (ISRO)
|

Deep Learning Intern

Remote, Not Specified, India

Summary

Engineered U-Net and CNN models for satellite image segmentation and contributed to geospatial AI projects focused on disaster monitoring and mapping.

Highlights

Engineered and deployed advanced U-Net and Convolutional Neural Network (CNN) models for precise satellite image segmentation.

Optimized model performance by implementing data augmentation and hyperparameter tuning, achieving significant accuracy improvements.

Contributed to critical geospatial AI projects, applying deep learning for disaster monitoring and mapping initiatives.

IBM SkillBuild CSR Program
|

Data Analytics Intern

Remote, Not Specified, India

Summary

Generated interactive dashboards in Power BI and explored business datasets to streamline data transformation processes for improved analysis workflows.

Highlights

Developed interactive dashboards in Power BI, enabling data-driven business decision-making and enhancing stakeholder understanding.

Conducted comprehensive data exploration and visualization of business datasets using Python, Pandas, and Matplotlib to uncover key trends.

Streamlined and optimized data transformation processes, significantly improving analysis workflows and reporting efficiency.

Education

Bhagat Phool Singh Mahila Vishwavidyalaya
Sonipat, Haryana, India

Bachelor of Technology (B.Tech)

Computer Science

Grade: 7.8 CGPA

Courses

Data Structures & Algorithms

Database Management Systems

Machine Learning

Deep Learning

Python Programming

Statistical Analysis

Data Visualization

Certificates

Deep Learning & Image Processing Internship

Issued By

AI Quantam Smart Solutions

Power BI for Data Visualization

Issued By

Skill Nation

Microsoft Excel for Data Analysis

Issued By

Skill Nation

Skills

Technical Skills

Python, SQL, Machine Learning, Deep Learning, MySQL, Oracle, PostgreSQL, Data Visualization, Image Processing, NLP, Statistics, Data Cleaning, Model Evaluation, EDA, Computer Vision, Data Preprocessing.

Tools & Libraries

TensorFlow, Keras, Scikit-learn, Pandas, NumPy, OpenCV, Matplotlib, Seaborn, Git, Jupyter Notebook, Google Colab, VS Code.

Platforms & Cloud Services

Power BI, Excel, VS Code, Anaconda.

Business & Reporting Tools

Power BI, Microsoft Excel (Pivot Tables, VLOOKUP, INDEX-MATCH), Google Sheets, MS Word.

Soft Skills

Analytical Thinking, Communication, Team Collaboration, Attention to Detail, Adaptability, Problem Solving, Critical Thinking.

Projects

Real-Time Sign Language Recognition System

Summary

A real-time application to recognize hand gestures and convert them into text and audio output, enhancing accessibility for hearing-impaired users.

Customer Churn Analysis

Summary

An analysis project focused on identifying churn patterns and building predictive models to visualize churn risk segments.

Product Recommendation System

Summary

Developed a collaborative filtering product recommendation system using user interaction data and cosine similarity.